The Legion application is a high-performance data-driven Java enterprise application that implements sophisticated scheduling and optimization algorithms. It also provides the necessary endpoints for our Web and mobile frontend applications. As a Senior Software Engineer, you will be a member of the team responsible for the implementation and evolution of this application. You will need to be able to write secure, efficient, enterprise-quality Java code, and have a deep understanding of the techniques and technologies that are necessary for scalability and performance. You will also need knowledge and experience with data modeling and relational databases. Our application runs on AWS, so experience with containerization and cloud deployments is desirable. We're using Springboot, Hibernate, MySQL, and JSON, so familiarity with these technologies will be helpful. Frontend experience in JavaScript and Angular and/or React is a big plus. RESPONSIBILITIES AND DUTIES
Design and implement: Build scalable, high-performance, and secure features for our Time & Attendance engine, including time-tracking, scheduling rules, overtime logic, and labor compliance calculations. - Leverage AI tooling daily: Use AI coding assistants and LLM-powered tools throughout your workflow — code generation, test scaffolding, code review acceleration, documentation, and debugging — and share learnings with your team. - Own quality: Write comprehensive unit tests, integration tests, and collaborate on automated test suites. AI-generated code still needs rigorous human review and validation. - Drive technical decisions: Participate actively in architecture discussions, propose solutions, and document trade-offs with clarity. - Mentor and review: Give substantive code reviews, pair with junior engineers, and model best practices including responsible AI-assisted development. - Collaborate cross-functionally: Work closely with Product Management, UX, and QA to translate business requirements into robust technical specifications and BDD scenarios. - Troubleshoot production issues: Diagnose and resolve complex bugs in distributed, high-volume environments with urgency and care. - Continuously improve: Identify and drive performance, scalability, and reliability improvements across the platform. - Uphold security standards: Participate in security reviews and ensure implementations comply with industry standards and internal policies.
REQUIRED SKILLS AND QUALIFICATIONS
Experience: 5-10+ years of professional software development with deep expertise in Java (or C++) in enterprise or SaaS environments. - AI tooling proficiency: Demonstrated, habitual use of AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code, ChatGPT, Tabnine) in daily development - you should be able to describe specific workflows where AI tooling materially changed how you work. - Backend depth: Strong command of Spring Boot, REST API design, Hibernate/JPA, and relational databases (MySQL or equivalent), including query optimization and indexing strategies. - Distributed systems: Solid understanding of microservices architecture, asynchronous patterns, and high-volume transaction handling. - Cloud & containerization: Hands-on experience with AWS and containerized deployments (Docker, Kubernetes). - Software craftsmanship: Deep familiarity with coding standards, code review practices, CI/CD pipelines, and DevOps principles. - Testing discipline: Proven ability to write and maintain unit tests, integration tests, and automated test suites - including for AI-generated code. - Problem-solving: Demonstrated ability to troubleshoot and debug complex, multi-layered systems independently. - Communication: Excellent written and verbal communication skills; able to document technical decisions clearly for both engineers and non-technical stakeholders. - Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience. PREFERRED QUALIFICATIONS AND ATTRIBUTES
AI-native workflow: You've gone beyond autocomplete — you use AI for architecture brainstorming, test generation, spec drafting, PR summaries, and are actively experimenting with agentic coding tools. - Workforce management or HCM domain experience: Familiarity with time-and-attendance, payroll, scheduling, or labor compliance systems is a significant advantage. - Frontend exposure: Working knowledge of JavaScript and either Angular or React. - Leadership track record: Experience informally leading feature teams, running design reviews, or serving as a technical point of contact for a product area. - Performance engineering: Prior work on query optimization, caching strategies, or throughput/latency improvements in high-volume applications. - Agile fluency: Comfortable operating in fast-paced sprint cycles with evolving requirements. - Integrity and judgment: Demonstrated ethical behavior and sound judgment, including when evaluating AI-generated outputs for correctness, bias, and security implications. In your interviews, we'll ask you to describe:
Which AI coding tools you use and how frequently. - A specific example where an AI tool helped you design, refactor, or debug something non-trivially. - How you validate and review AI-generated code to catch errors, security issues, or performance problems. - Your view on the limits of current AI coding assistants and where human judgment remains essential. We are not looking for performative AI enthusiasm. We are looking for engineers who have genuinely integrated these tools into their craft and can think critically about their strengths and failure modes. ABOUT LEGION
Join Legion's mission to turn hourly jobs into good jobs. We're a mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling. BACKGROUND AND OPPORTUNITY
There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. Legion WFM was built for the cloud with AI at the core and is designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is composed of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co
COMPENSATION & BENEFITS
At Legion, we offer competitive compensation and benefits packages to all employees. As a hybrid employer in Bucharest, Romania, pay for positions is determined using local, national, and industry-specific survey data. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.*
How We Determine What We Pay
As a global employer, Legion determines pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.
